T-test, ANOVA and Chi Squared test made easy.

Statistics doesn't need to be difficult. Using the t-test, ANOVA or Chi Squared test as part of your statistical analysis is straight forward. You do need to understanding the underlying principles of hypothesis testing and p-values of course. You need to understand when to reject the null hypothesis and accept the alternative hypothesis if you are going to make any inference about the population from your sample data. If you are doing any data analysis or statistical analysis then this video is a must. If you are an aspiring data scientists or doing quantitative research, then this is a good place to start.

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This channel posts global health and public health teaching videos and videos about how to find the right job in global health. If you haven't already, please consider subscribing to this channel and becoming part of this community. The channel also provides teaching on research methods, statistical analysis and how to write and publish a scientific paper.

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